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检索条件"任意字段=6th International Conference on Image and Graphics Processing, ICIGP 2023"

共 684 条记录，以下是1-10 订阅

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icigp 2023 - Proceedings of the 6th international conference on image and graphics processing

ICIGP 2023 - Proceedings of the 6th International Conference...

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6th international conference on image and graphics processing, icigp 2023

ISBN: (纸本)9781450398572

the proceedings contain 34 papers. the topics discussed include: complementary label queries for efficient active learning;adversarial recovery network for low-light person re-identification;advances and application of facial expression and learning emotion recognition in classroom;smile recognition based on comprehensive dataset construction and Bayesian neural architecture search;developing complex geometry isosurface reconstruction tool for smoothed particle hydrodynamics simulations;boosting image emotion analysis via coupling dependent attentive model;a method of touchable 3D model reconstruction based on mixed reality — a case study of medical training applications;development of landmark-based facial asymmetry evaluation;multi-scale spatial-spectral feature extraction based on dilated convolution for hyperspectral image classification;and multi-autoencoder with perceptual loss-based network for infrared and visible image fusion.

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icigp 2023 - Proceedings of the 6th international conference on image and graphics processing

ICIGP 2023 - Proceedings of the 6th International Conference...

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6th international conference on image and graphics processing, icigp 2023

ISBN: (纸本)9781450398572

the proceedings contain 34 papers. the topics discussed include: complementary label queries for efficient active learning;adversarial recovery network for low-light person re-identification;advances and application of facial expression and learning emotion recognition in classroom;smile recognition based on comprehensive dataset construction and Bayesian neural architecture search;nighttime image dehazing based on bright and dark channel prior and Gaussian mixture model;developing complex geometry isosurface reconstruction tool for smoothed particle hydrodynamics simulations;adaptive minimax-concave penalty based MR image denoising with difference of Gaussian filter;a method of touchable 3D model reconstruction based on mixed reality — a case study of medical training applications;development of landmark-based facial asymmetry evaluation;multi-scale spatial-spectral feature extraction based on dilated convolution for hyperspectral image classification;multi-autoencoder with perceptual loss-based network for infrared and visible image fusion;and no-reference stereoscopic image quality assessment based on binocular visual saliency weighting.

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2023 6th international conference on Sensors, Signal and image processing, SSIP 2023

2023 6th International Conference on Sensors, Signal and Ima...

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6th international conference on Sensors, Signal and image processing, SSIP 2023

ISBN: (纸本)9798400707995

the proceedings contain 10 papers. the topics discussed include: study on outdoor fog detection and image dehazing algorithm;framework for automated synthetic image generation for vehicle detection;enhanced object detection in highly compressed images using regions of interest;a drunk identification system based on thermal imaging;nuclei segmentation method based on CycleGAN-generated images;attention-based efficient classification for 3D MRI image of Alzheimer’s disease;data sharing model of group robot system in emergency scenario based on improved PBFT;research on the activation status of brain regions during the execution of two tasks — a study based on the flanker task and finger tapping task;and research on resource allocation strategy of swarm robot based on historical information.

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6th international conference on Digital Medicine and image processing, DMIP 2023

6th International Conference on Digital Medicine and Image P...

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6th international conference on Digital Medicine and image processing, DMIP 2023

ISBN: (纸本)9798400709425

the proceedings contain 21 papers. the topics discussed include: detecting cars and their states utilizing object detection;an application of head gesture for controlling electric wheelchair movement;major depressive disorder detection based on parallel spatiotemporal convolution network;high quality digital zoom using learning super-resolution;an improved reconstruction technique;software dependent image data compression using multiple encryption;using semi-automated annotation and optical character recognition for transcription of patient monitors using smartphone camera;leaf shape recognition using Fourier descriptors and Hough transform and classification using probabilistic neural network;non-intrusive people counting and identification simultaneously with commodity Wi-Fi devices;and using deep learning and adaptive window adjustment to facilitate the detection of pulmonary edema detection in chest x-rays: improving diagnostic accuracy and precision through advanced deep learning techniques.

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6th international conference on Recent Trends in image processing and Pattern Recognition, RTIP2R 2023

6th International Conference on Recent Trends in Image Proce...

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6th international conference on Recent Trends in image processing and Pattern Recognition, RTIP2R 2023

ISBN: (纸本)9783031530814

the proceedings contain 31 papers. the special focus in this conference is on Recent Trends in image processing and Pattern Recognition. the topics include: UI/UX for Aerospace Qualification Business Processes;Enhancing Android Malware Detection: CFS Based Texture Feature Selection and Ensembled Classifier for Malware App Analysis;a Comprehensive Analysis of Blockchain Network Security: Attacks and their Countermeasures;Enhancing CT image Visualization and Analysis through Rescaling Raw Pixel Values to Hounsfield Units;VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks;leveraging Handwriting Impairment as a Biomarker for Early Parkinson’s Disease Diagnosis;blockchain for Patient Data Integrity: Decentralised Storage and Retrieval in Modern Healthcare Systems;a Residual Learning Approach Towards the Diagnosis of Colorectal Disease Effectively;Large-Language-Models (LLM)-Based AI Chatbots: Architecture, In-Depth Analysis and their Performance Evaluation;cincoCrypto - A Cryptocurrency Price Forecasting Tool for Everyone;Realistic Skin image Data Generation Leveraging Conditional GAN and Classification Using Deep CNN;Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification;analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray;a Stack Ensemble Approach for Early Alzheimer Classification Using Machine Learning Algorithms;federated Unlearning and Server Right to Forget: Handling Unreliable Client Contributions;optimal Resource Allocation for Energy Harvested Cognitive Radio Networks Based on Learn Heuristic Algorithm;Deep Neural Networks Based Security Solution for ATM Transactions;crypto Bank: Cryptocurrency Wallet Based on Blockchain;radiography and thermography Based image processing Techniques for Assessment of Lower Back Pain;modified Snapshot Ensemble Algorithm for Skin Lesion Classification;COVID-19 Disease Prediction Using Generative Adversarial

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6th international conference on Recent Trends in image processing and Pattern Recognition, RTIP2R 2023

6th International Conference on Recent Trends in Image Proce...

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6th international conference on Recent Trends in image processing and Pattern Recognition, RTIP2R 2023

ISBN: (纸本)9783031530845

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EEG Signal processing Using Deep Learning for Motor imagery Tasks: Leveraging Signal images 6th

EEG Signal Processing Using Deep Learning for Motor Imagery ...

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6th international conference on Biomedical Engineering

作者： Amran, Husna Najeha Markom, Marni Azira Awang, Saidatul Ardeenawatie Adom, Abdul Hamid Tan, Erdy Sulino Mohd Muslim Markom, Arni Munira Univ Malaysia Perlis Fac Elect Engn & Technol Arau 02600 Perlis Malaysia Univ Technol Mara Malaysia UiTM Fac Engn Kampus Shah Alam Shah Alam 40450 Selangor Malaysia Univ Malaysia Perlis Ctr Excellence Adv Sensor Technol Arau 02600 Perlis Malaysia

ISBN: (纸本)9783031803543;9783031803550

A novel approach to processing electroencephalography (EEG) signals has emerged, leveraging the utilization of signal images. the application of deep learning techniques in bypassing complex signal and image processing tasks has generated significant interest in this field. However, challenges remain in signal image processing, particularly in handling significant features and image sizes. this study presents a comprehensive investigation of EEG motor imagery signal processing, focusing on the classification of three tasks: eating, drinking, and seeking assistance. Fast Fourier Transform (FFT) is employed to extract signal image features, which are subsequently utilized in a deep learning framework. EEG data were collected from five subjects, and four transfer functions of deep learning models, namely VGG16, VGG19, ResNet50, and ResNet101, were employed for training and classification purposes. the performance of the four models was meticulously evaluated and compared. Notably, VGG16 exhibited superior performance in accurately classifying the EEG motor imagery tasks, achieving an impressive accuracy of 90%, sensitivity of 84%, and specificity of 92%. In conclusion, this study underscores the efficacy of EEG signal image processing through deep learning-based classification techniques. the findings highlight the potential of utilizing signal images in EEG analysis for motor imagery tasks, thereby contributing to the advancement of brain-computer interface technology and enhancing our understanding of neural dynamics.

关键词： Electroencephalography (EEG) Signal image Fast Fourier Transform (FFT) Convolution neural network (CNN) Deep Learning

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image and Signal processing: 6th international conference, ICISP 2014, Cherbourg, France, June 20 -- July 2, 2014, Proceedings

Image and Signal Processing: 6th International Conference, I...

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2014年

作者： Abderrahim Elmoataz Olivier Lézoray Fathallah Nouboud

ISBN: (纸本)9783319079998

this book constitutes the refereed proceedings of the 6th international conference, ICISP 2014, held in June/July 2014 in Cherbourg, France. the 76 revised full papers were carefully reviewed and selected from 164 submissions. the contributions are organized in topical sections on multispectral colour science, color imaging and applications, digital cultural heritage, document image analysis, graph-based representations, image filtering and representation, computer vision and pattern recognition, computer graphics, biomedical, and signal processing.

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Contrast Enhancement Method Using Partial Contrast Technique on Breast Cancer Histopathology images 6th

Contrast Enhancement Method Using Partial Contrast Technique...

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6th international conference on Biomedical Engineering

作者： Mustafa, Nazahah Sahidi, Nur Syawanis Mohamad Yazid, Haniza Ab Rahman, Khairul Shakir Daud, Suhardy Univ Malaysia Perlis Biomed Elect Engn Programme Fac Elect Engn & Technol Arau 02600 Perlis Malaysia Univ Malaysia Perlis Ctr Excellence CoE Unmanned Aerial Syst Arau 02600 Perlis Malaysia Hosp Tuanku Fauziah Dept Pathol Kangar 01000 Perlis Malaysia Univ Malaysia Perlis Fac Chem Engn & Technol Arau 02600 Perlis Malaysia

ISBN: (纸本)9783031803543;9783031803550

Breast cancer is the most common cancer among women in the world. It is one of the leading causes of cancer related death in most of the countries including Malaysia. Conventional method to diagnose breast cancer requires pathologist to examine the breast tissue under a microscope. this task is time consuming, tedious, and complex. Fortunately, computer methods such as image processing could be used to assist breast tissue examination and speed up the process. this study proposes contrast enhancement using partial contrast technique to enhance quality and contrast of the breast cancer histopathology images. Intensity ranges of the selected areas on breast cancer histopathology images such as nucleus, cytoplasm and mitotic cells were determined. Using the proposed technique, the determined intensity ranges were stretched, and the others were compressed. PSNR and RMSE metrics were used to analyse the results. the average PSNR of the enhanced image (26.632 dB) is higher than the original images (24.425 dB). For RMSE, the enhanced image has a lower value (7.303) than the original image (7.976). this shows the proposed partial contrast technique could provide better contrast of breast cancer images.

关键词： Breast Cancer Histopathology image Contrast Enhancement Partial Contrast

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6th international conference on Security and Privacy in New Computing Environments, SPNCE 2023

6th International Conference on Security and Privacy in New ...

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6th international conference on Security and Privacy in New Computing Environments, SPNCE 2023

ISBN: (纸本)9783031736988

the proceedings contain 23 papers. the special focus in this conference is on Security and Privacy in New Computing Environments. the topics include: Consortium Blockchain Storage Optimization Based on Fountain Codes;an Incentive Mechanism and An Offline Trajectory Publishing Algorithm Considering Sensing Area Coverage Maximization and Participant Privacy Level;Research on Face Recognition System Based on RLWE Homomorphic Encryption;feedback Feed-Forward Iterative Learning Control for Non-affine Nonlinear Discrete-Time Systems with Varying Trail Lengths;open-Closed-Loop Iterative Learning Control Based on Differential Evolution Algorithm for Nonlinear System;overview of Vehicle Edge Computing and Its Security;conFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection;anomaly Detection of Unstable Log Data Based on Contrastive Learning;An Integration-Enhanced ZNN Approach for Chaotic Combination Synchronization with External Disturbances∗;a Lightweight Anomaly Detection Method for Industrial Processes Based on Event Correlation Behavior;a Novel Polar Code-Based Key Encapsulation Mechanism with Non-permutation Equivalent Public Key;two-Stage Multi-lingual Speech Emotion Recognition for Multi-lingual Emotional Speech Synthesis;EncoderMU: Machine Unlearning in Contrastive Learning;NoCrypto: A Web Mining Behavior Detection Method Based on RGB images;image Copy-Move Forgery Detection in the Social Media Based on a Prior Density Clustering and the Point Density;detection of Speech Spoofing Based on Dense Convolutional Network;speech Emotion Recognition Based on Recurrent Neural Networks with Conformer for Emotional Speech Synthesis;Route Privacy-Preserving Authentication Scheme Based on PUF in VANETs;Stable NICE Model-Based Picture Generation for Generative Steganography;computer-Generated image Forensics Based on Vision Transformer with Forensic Feature Pre-processing Module;VoIP Steganalysis Using Shallow Multiscale Convolution and

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